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Machine Learning Engineer Intern Jobs in Quebec (NOW HIRING)

Coveo

Backend Development Intern, Fall 2026

Quebec, QC · Hybrid

... machine learning? Are you curious about the systems that power information retrieval, index ... As an intern, you'll gain practical experience with regular engineering workflows while also owning ...

Ubisoft

Software Engineer - MLOPS

Montreal, QC

As a Machine Learning Operations Software Engineer at Ubisoft Montréal, you will help build reliable and scalable systems that protect the trust and safety of our players . You will join the Player ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Fed IT

Votre profil Minimum de 5 années d'expérience dans un rôle d'AI Engineer, Machine Learning Engineer, MLOps Engineer ou similaire. Solide expérience avec Google Cloud Platform (GCP). Expérience ...

Apertera

Generative AI Engineer

Montreal, QC · On-site

Work closely with machine learning engineers and data engineers to design, build, and test models. * Develop efficient and scalable algorithms for training and inference of generative models ...

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All JobsMachine Learning Engineer Intern JobsMachine Learning Engineer Intern Jobs in Quebec

Machine Learning Engineer Intern information

See Quebec salary details

$23K

$120.7K

$215.5K

How much do machine learning engineer intern jobs pay per year?

As of Aug 13, 2026, the average yearly pay for machine learning engineer intern in Quebec is $120,739.00, according to ZipRecruiter salary data. Most workers in this role earn between $66,500.00 and $164,000.00 per year, depending on experience, location, and employer.

What do machine learning engineer interns do?

Machine Learning Engineer Interns are often involved in data preparation, feature engineering, model development, and performance evaluation under the guidance of senior engineers or data scientists. You may help implement and test machine learning algorithms, assist in cleaning and visualizing datasets, and contribute to code reviews or research tasks. Interns frequently collaborate with cross-functional teams, such as data scientists, software engineers, and product managers, to solve real-world problems and support ongoing projects. This hands-on experience provides valuable insights into the practical application of machine learning in a professional setting.

What is a machine learning engineer intern?

A Machine Learning Engineer Intern is a temporary, entry-level role where individuals work with data scientists and engineers to develop, test, and optimize machine learning models. Interns typically assist in data preprocessing, feature engineering, model training, and evaluation. They may also work on improving existing algorithms, implementing research papers, or deploying models into production. This role provides hands-on experience with machine learning frameworks such as TensorFlow and PyTorch, as well as coding in Python and working with large datasets. The internship helps build practical skills and industry experience in artificial intelligence and data science.

What skills and qualifications are needed to thrive as a machine learning engineer intern?

To thrive as a Machine Learning Engineer Intern, you need a solid understanding of programming languages such as Python, knowledge of machine learning algorithms, and experience with data analysis, typically supported by coursework in computer science or related fields. Familiarity with tools like TensorFlow, PyTorch, scikit-learn, and version control systems such as Git is often required. Strong problem-solving abilities, attention to detail, and effective communication are valuable soft skills in this role. These competencies enable interns to contribute meaningfully to projects, collaborate efficiently with teams, and adapt in a fast-paced, tech-driven environment.

What are the most commonly searched types of Machine Learning Engineer jobs in Quebec? The most popular types of Machine Learning Engineer jobs in Quebec are:
What are popular job titles related to Machine Learning Engineer Intern jobs in Quebec? For Machine Learning Engineer Intern jobs in Quebec, the most frequently searched job titles are:
What cities in Quebec are hiring for Machine Learning Engineer Intern jobs? Cities in Quebec with the most Machine Learning Engineer Intern job openings:
Machine Learning Engineer Intern jobs near you
Infographic showing various Machine Learning Engineer Intern job openings in Quebec as of August 2026, with employment types broken down into 1% As Needed, 76% Full Time, 20% Part Time, 1% Temporary, and 2% Contract. Highlights an 88% Physical, 2% Hybrid, and 10% Remote job distribution, with an average salary of $120,739 per year, or $58 per hour.

Backend Development Intern, Fall 2026

Coveo

Quebec, QC • Hybrid

Full-time, Internship

Re-posted 3 days ago

Job description

What does it take to build, improve, and scale the backend systems behind search, indexing, and machine learning?

Are you curious about the systems that power information retrieval, index querying, and machine learning development at scale? Coveo is looking for Software Development Interns to join teams within Research & Development, where you'll contribute to meaningful backend projects that support real-world products and client-facing solutions. Your mission? Help improve critical services, strengthen backend infrastructure, and gain hands-on experience in large-scale engineering environments.

You could work on one of the following projects:

  • Search API team: The team is responsible for how Coveo retrieves information from the index and for the surrounding technologies that support that flow. As an intern, you'll contribute to refactoring initiatives that help align the Search API service with the rest of R&D, while learning how to make incremental changes to a critical service.
  • Query-Index team: This team works on index query-related systems, including how Coveo retrieves information from the index and the related technologies that support that flow. As an intern, you'll gain practical experience with regular engineering workflows while also owning a project from requirements gathering to delivery.
Your impact, day to day:
  • Engage actively in daily stand-up meetings to discuss progress, roadblocks, and plans. Collaborate with team members to ensure alignment and effective communication.
  • Manage and resolve assigned Jira tickets, ensuring timely completion of tasks.
  • Contribute to real-world projects that will be implemented for Coveo's clients. This can include coding, testing, and deploying solutions that meet customer requirements and enhance their experience.
  • Develop your skills by drawing on your mentor's expertise. Watch, learn, and apply the best practices, methodologies, and strategies used in project management and software development.
  • Take an active role in code review sessions. Offer constructive feedback and receive advice on how to raise the quality of your code, follow best practices and strengthen your programming skills.
The Essentials:
  • You are currently studying Software Engineering or Computer Science in a Bachelor's degree or higher in the province of Québec.
  • You are able to work from one of our offices 2 days a week. Our hybrid work model offers flexibility, you can benefit from face-to-face learning from your team on office days while home days allow you to focus and complete complex work.
  • You are legally entitled to work full-time in Canada for the duration of the 15 week internship.
Think you've got what it takes? Let's see!
  • You have experience in:
    • To join the Search API team: Scala, Java or Kotlin, experience with microservices, SpringBoot, or APIs is a bonus.
    • To join the Query-Index team: C++, experience with Java or SQL is a bonus.
  • You have completed an internship.
  • You have a strong sense of ownership and are proud of what you create.
  • You strive to grow and aren't afraid to ask questions.
  • You're passionate about the tech industry and lead with a proactive mindset.
  • You've participated in some hackathons and/or have a few personal projects.
Join the Coveolife!

Do you think you can bring this role to life? Send us your application, we want to hear from you!

We encourage all qualified candidates to apply regardless of, for example, age, gender, disability, gaps in CV, national or ethnic background.

This job description was written by humans, assisted by AI. We may leverage technology in our hiring process to help us see the person behind the resume.

Coveo is committed to providing accessible employment practices. If you require accommodation due to a disability at any point during the recruitment process, please contact HR@Coveo.com to discuss your needs.
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